A linear programming embedded meta-heuristic for the solving of multi period cellular manufacturing system design problem

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dc.contributor.authorBayram, Hüsamettin
dc.contributor.authorŞahin, Ramazan
dc.contributor.authorErtogral, Kadir
dc.date.accessioned2019-05-13T09:09:13Z
dc.date.available2019-05-13T09:09:13Z
dc.date.issued2014
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.descriptionJoint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014, 14 October 2014 through 16 October 2014,
dc.description.abstractCellular Manufacturing is a member of modern production methods. In general, design of Cellular Manufacturing Systems (CMS) consists of three decision stages: (1) formation of cells and product groups, (2) layout of cells on the shop floor (inter-cell layout), (3) layout of machines within the cells (intra-cell layout). For a successful CMS design, these decisions should be taken concurrently. In this study, firstly we propose a linear mixed-integer mathematical programming model for the expression of a multi period (dynamic) CMS design problem. The model determines cell formations, product routings, material flows, inter-cell and intra-cell layout. It considers operations sequences of products, alternative product routings, lot splitting, duplicated machines, machine purchasing and removal, dynamic reconfiguration of cells and machines, inter-cell and intra-cell material handling costs, operation costs and durations of products, capacities of machinery and material handling devices. Due to the complexity of the problem we propose a Linear Programming embedded Simulated Annealing method. Several problems from the literature are found and solved for the testing of the method.
dc.description.sponsorshipComputer and Industrial Engineering;et al.;Gaziantep University;Istanbul Commercial University;Journal of Intelligent Manufacturing Systems;Sakarya University, Department of Industrial Engineeringen_US
dc.identifier.citationBayram, H., Şahin, R., Ertogral, K. (2014). A linear programming embedded meta-heuristic for the solving of multi period cellular manufacturing system design problem. 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS,14-16 October 2014; Adile Sultan Palace, İstanbuli
dc.identifier.endpage617en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage605en_US
dc.identifier.urihttps://hdl.handle.net/11491/2122
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherComputers and Industrial Engineering
dc.relation.ispartofCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDynamic Cellular Manufacturing System Designen_US
dc.subjectLinear Mixed-Integer Programming Modelen_US
dc.subjectSimulated Annealingen_US
dc.subjectLinear Programmingen_US
dc.titleA linear programming embedded meta-heuristic for the solving of multi period cellular manufacturing system design problem
dc.typeConference Object

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